Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

CNCF [Cloud Native Computing Foundation]

Best Practices for Accelerated Image Distribution Using Dragonfly

CNCF [Cloud Native Computing Foundation] via YouTube

Start learning Write review
Boot.dev Ad

Learn Backend Development Part-Time, Online

Learn More → DataCamp Ad

PowerBI Data Analyst - Create visualizations and dashboards from scratch

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
The course introduces Dragonfly, a P2P-based system for distributing images and files. It covers the system architecture, image acceleration practices, performance testing, and integration with tools such as Harbor, Nydus, and eStargz.

Syllabus

Intro
Speakers
Architecture
File Distribution & Image Acceleration
Acceleration Framework For Image
Dragonfly Nydus
Performance Testing
Machine Learning Model
Product Introduction
Best Practice in Volcengine
P2P project
Benchmark Data

Taught by

CNCF [Cloud Native Computing Foundation]

Reviews

Start your review of Best Practices for Accelerated Image Distribution Using Dragonfly

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.